Fostering non-intrusive load monitoring for smart energy management in industrial applications: an active machine learning approach by Lukas Fabri, Daniel Leuthe, Lars-Manuel Schneider, Simon Wenninger

“…We compare three disaggregation algorithms with a benchmark model by efficiently selecting a subset of training data through three query strategies that identify the data requiring labeling. …”
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An Analysis of the Altitude Impact on Roots Compressor Operation for a Fuel Cell System by Pedro Piqueras, Joaquín de la Morena, Enrique José Sanchis, Ibrahim Saadouni

“…Hydrogen fuel cell vehicles are one of the most promising alternatives to achieve transport decarbonization targets, thanks to their moderately high efficiency and low refueling time, combined with their zero-exhaust-emission operation. …”
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Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building by Liu Zhaohui, Li Zhenyu, Tan Hongwei, Xu Wen, Feng Wenbo, Yi Biyi

“…To develop this strategy, a variable-speed heat-pump model and the objective function for optimization of the heat-pump sequence control were first established, so as to determine the optimal solutions under partial building loads. …”
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Deep Reinforcement Learning-Enabled Computation Offloading: A Novel Framework to Energy Optimization and Security-Aware in Vehicular Edge-Cloud Computing Networks by Waleed Almuseelem

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Optimization of the business process of commercialization of developments for state educational institutions by I. A. Pestunov, G. B. Pestunova, A. A. Poguda

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Advancing blood cell detection and classification: performance evaluation of modern deep learning models by Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…In terms of real-time performance, YOLOv10 outperforms other object detection models with better detection rates and classification accuracy. …”
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Optimizing the Shape of Faster-Than-Nyquist (FTN) Signals With the Constraint on Energy Concentration in the Occupied Frequency Bandwidth by Sergey B. Makarov, Mingxin Liu, Anna S. Ovsyannikova, Sergey V. Zavjalov, Ilya I. Lavrenyuk, Wei Xue, Junwei Qi

“…At the same time, the energy loss stays almost unchanged. To the best of authors’ knowledge, this is the first case when the frequency bandwidth reduction is achieved at practically no energy loss. …”
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The Optimization Design of Variable Valve Parameters for Internal Combustion Engines Considering the Energy Consumption of a Composite Electromagnetic Valve Mechanism by Xinyu Fan, Juyi Han, Jie Yin, Li Zheng, Wei Shao

“…First, it analyzes the effects of different valve timing parameters and drive modes on engine performance; second, a multi-objective game theory optimization algorithm is employed to optimize the valve timing parameters and obtain the optimal solution set; finally, taking into account the energy consumption of the valve mechanism, engine emissions, and performance, a control strategy for valve timing parameters is developed based on an entropy-weighted method combined with a superiority and inferiority solution distance analysis. …”
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Adsorptive removal of organics and nutrients from septic tank effluent using oak wood chip biochar: Kinetic analysis and numerical modeling by Chimdi Muoghalu, Herbert Cirrus Kaboggoza, Swaib Semiyaga, Musa Manga

“…Adsorption followed a pseudo-first-order model highlighting the role of physisorption in eliminating NO3-N and COD. …”
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First-Arrival Picking for Microseismic Monitoring Based on Deep Learning by Xiaolong Guo

“…In microseismic monitoring, achieving an accurate and efficient first-arrival picking is crucial for improving the accuracy and efficiency of microseismic time-difference source location. …”
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Real-time anti-sleep alert algorithm to prevent road accidents to ensure road safety by Abhishek Kumar Pathak, Ankit Kumar Singh, Pankaj Kumar, Vimal Bhatia, Vimal Bhatia, Vimal Bhatia, Ondrej Krejcar, Ondrej Krejcar

“…The proposed method outperforms the traditional approaches such as Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Haar Cascade Classifiers, and other DL architectures like Xception and VGG16, in terms of accuracy and efficiency. Among the tested models, InceptionV3 demonstrated superior performance, achieving an accuracy of 99.18%, a validation loss of 0.85%, and execution time of 0.2 s on Raspberry Pi platform. …”
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Development of ITER first wall heat load feedback control by Federico Pesamosca, Timo Ravensbergen, Richard A. Pitts, Domenico Frattolillo, Mattia Erroi, Quentin Deliege, Peter C. de Vries, Luca Zabeo, Luigi Pangione, Ivo S. Carvalho, Anna Vu

“…This control-oriented model simulates the thermal response of ITER FW to slow changes in plasma equilibrium and energy, which during ITER operation will be monitored by the real-time wide angle infrared camera system. …”
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A Novel Energy Control Digital Twin System with a Resource-Aware Optimal Forecasting Model Selection Scheme by Jin-Woo Kwon, Anwar Rubab, Won-Tae Kim

“…It employs a two-stage approach: first, it identifies promising models through similarity detection in past time series; second, this initial recommendation is refined by considering the available computing resources to pinpoint the optimal forecasting model. …”
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A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…It is designed to handle continuous processes but can also be applied to batch and hybrid processes due to its flexible architecture. First, preprocessed industrial operation data are fed into the model, and hyperparameter optimization is conducted using the Optuna framework to improve training efficiency and generalization capability. …”
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Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature by Zhiyong Li, Pengfei Li, Xiaoping Yu, Mervat Hashem

“…This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). …”
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Conceptual Framework of Energy-and-Ecology of Indoor Plant Lighting by Sergei A. Rakut’ko

“…(Conclusions) For the first time, the author raises a question about the development of structural elements of the BAT formation algorithm in lighting horticulture in terms of energy-ecological indicators as an integrative optimality criterion of the system. …”
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Evaluating QoS in Dynamic Virtual Machine Migration: A Multi-Class Queuing Model for Edge-Cloud Systems by Anna Kushchazli, Kseniia Leonteva, Irina Kochetkova, Abdukodir Khakimov

“…The numerical results show that the blocking probability for the first VM for Policy 1 is 2.1% times lower than for Policy 2 and the same metric for the second VM is 4.7%. …”
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Time deterministic routing algorithm and protocol based on time-varying graph over the space-ground integrated network by Hongyan LI, Tao ZHANG, Jingqian ZHANG, Keyi SHI, Pengcheng ZENG

“…In terms of the difficulties to construct the end-to-end path and improve the utilization of network resources,caused by the time-varying multi-dimensional resources and diverse services over the space-ground integrated networks,the time-varying graph-based time deterministic routing algorithm and protocol for the space-ground integrated network was proposed.Firstly,a time-varying continuous graph model was constructed to describe the spatial and temporal attributes of multi-dimensional resources,such as the topology,link connectivity opportunities,node caching and so on.Then,a service-oriented time deterministic routing algorithm was proposed.According to the calculation rules of link cumulative traffic,and the constraints of node flow conservation and cache,the time-varying path with the shortest transmission delay was constructed.After that,a delay-guaranteed time deterministic routing protocol was designed by combining the proposed routing algorithm with both the segment routing technology and the time sensitive network technology,which supported the dynamic topology discovery,the efficient calculation of deterministic routing and the timing forwarding of data packets on the time-varying network.The simulation results show that,compared with the routing algorithm based on snapshot graph and contact graph,the proposed routing algorithm has higher link resource utilization rate and the packet successful delivery rate by jointly using link and node storage resources by association,and ensures the end-to-end transmission delay of services.…”
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A Quantified Analysis of Lean First Then Automate for a Synergetic Effect by Sharmin Akter Urmee, Mosharraf Hossain

“…Using ARENA simulation software, four distinct simulation models were created using the data: the current assembly line model, the model with a lean tool (Inline Quality Check), the model with only automation, and the model with lean applied first and automation applied later. …”
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Short-term prediction of regional energy consumption by metaheuristic optimized deep learning models by Ngoc-Quang Nguyen, Phuong-Thao-Nguyen Nguyen, Quynh-Chau Truong

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